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Auton Project
This project is no longer active.
Heads: Jeff Schneider and Andrew Moore
Contact: Jeff Schneider (schneide@cs.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated lab/group: Auton Lab
For more information, see this project's homepage.
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Project Description |
Personnel |
Publications
Project Description
In the Auton lab, we focus on machine learning, especially data mining, reinforcement learning, control and logistics. Today information is processed in a huge variety of places, ranging from humble thermostats, traffic lights and TV remote controls up to continuous-flow manufacturing processes, packaging machines, truck routers, car engine management systems and plant management consoles. Here's what we find exciting: Imagine a future where all these systems have the computational power of a thousand Deep Blue chess search engines. The hardware and infrastructure for this future are not unthinkably far off. We are concerned with the computer science of exploiting this power.
Past members
Recent publications [View all 68 publications]
- Efficient Discovery of Spatial Associations and Structure with Application to Asteroid Tracking
J.M. Kubica
doctoral dissertation, tech. report CMU-RI-TR-06-01, Robotics Institute, Carnegie Mellon University, December, 2005.
[Abstract]
Download: pdf [6730 KB] copyrighted
- Scalable and robust group discovery on large transactional data
P. Choi, A. Moore, and J.M. Kubica
tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005.
[Abstract]
Download: pdf [753 KB] copyrighted
- Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
Neural Information Processing Systems, December, 2005.
[Abstract]
Download: pdf [204 KB] copyrighted
- Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity
P. Komarek and A. Moore
tech. report CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005.
[Abstract]
Download: pdf [214 KB], ps.gz [70 KB] copyrighted
- Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005.
[Abstract]
Download: pdf [168 KB], ps.gz [375 KB] copyrighted
- Fast and Robust Track Initiation Using Multiple Trees
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004.
[Abstract]
Download: pdf [1196 KB], ps.gz [803 KB] copyrighted
- Spatial Data Structures for Efficient Trajectory-Based Queries
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004.
[Abstract]
Download: pdf [510 KB], ps.gz [278 KB] copyrighted
- Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
B. Anderson, A. Moore, A.J. Connolly, and R. Nichol
International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, August, 2004.
- Logistic Regression for Data Mining and High-Dimensional Classification
P. Komarek
tech. report CMU-RI-TR-04-34, Robotics Institute, Carnegie Mellon University, May, 2004.
[Abstract]
Download: pdf [1579 KB], ps.gz [2027 KB] copyrighted
- Alias Detection in Link Data Sets
P. Hsiung
master's thesis, tech. report CMU-RI-TR-04-22, Robotics Institute, Carnegie Mellon University, March, 2004.
[Abstract]
Download: pdf [89 KB], ps.gz [47 KB] copyrighted
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